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MIT taught a neural network how to show its work

MIT’s Lincoln Laboratory Intelligence and Decision Technologies Group yesterday unveiled a neural network capable of explaining its reasoning. It’s the latest attack on the black box problem, and a new tool for combating biased AI.<p>Dubbed the Transparency by Design Network (TbD-net), MIT’s latest …

8 Ways To Make More Powerful Excel Models

“So, Brett, what does GALOP say?”<p>During my days as a quantitative investment banker, my colleagues would often ask me to convey the results of my financial models so they would know what product or strategy to offer a particular client. Programmed in Excel, my GALOP models (which stood for “Global …

Breaking the Monolithic Database in your Microservices Architecture

Home <b>›</b> Microservices <b>›</b> <b>Breaking the Monolithic Database in your Microservices Architecture</b><p><i>on</i> September 3, 2018 • ( 0 )<p>When you are decomposing your …

Understanding Different Components & Roles in Data Science

There are many fields under the umbrella of the data science and sometimes these roles look similar to each other or are used interchangeably. Let us …

Top 15 Scala Libraries for Data Science in 2018

In our previous articles, we have discussed the top Python libraries for data science. This time we will focus on Scala, which has recently become …

5 reasons data analytics are falling short

<b>By Ami Gal, CEO SQream</b><p>“Possession is nine-tenths of the law,” goes the adage, which was traditionally applied to land rights, among other areas. The …

3 Questions About AI That Nontechnical Employees Should Be Able to Answer

Articles about artificial intelligence often begin with an intention to shock readers, referencing classic works of science fiction or alarming statistics about impending job losses. But I think we get closer to the heart of AI in 2018 when we think about small and mundane ways in which AI makes …

The Democratization of Data Science

Want to catch tax cheats? The government of Rwanda does — and it’s finding them by studying anomalies in revenue-collection data.<p>Want to understand how American culture is changing? So does a budding sociologist in Indiana. He’s using data science to find patterns in the massive amounts of text …

Do You Know The Difference Between Data Analytics And AI Machine Learning?

The artificial intelligence (AI) industry has been leading the headlines consistently, and for good reason. It has already transformed industries across the globe, and companies are racing to understand how to integrate this emerging technology.<p>Artificial intelligence is not a new concept. The …

HBR Guide to Data Analytics Basics for Managers Ebook + Tools

This tool is intended for individual use only.<p>Publication Date: <b>April 03, 2018</b><p>Today's business environment brings with it an onslaught of data, but leaving the analysis to others in your company just won't cut it. Now more than ever, managers must know how to tease insight from data--to understand …

Tableau takes next steps toward smart analytics

​Tableau's Empirical acquisition is its latest move toward machine-augmented analytics. Here's a look at the company's 'smart' features.<p><i>Video:</i> <i>CEO</i> …

Law firms climb aboard the AI wagon

LONG hours have been the bane of the legal profession for ages; few of them involve thrilling courtroom antics. As a junior corporate lawyer at Davis …

Here Are Free AI Learning Resources For Beginners

Image Source: BaiduGiven how artificial intelligence is a buzzing topic, it has sparked a slew of beginner-friendly introductory resources that clear …

Timsort — the fastest sorting algorithm you’ve never heard of

Timsort: A very fast , O(n log n), stable sorting algorithm built for the real world — not constructed in academia.<p>Timsort is a sorting algorithm …

India’s mess of complexity is just what AI needs

The country’s diversity of scripts, dialects, dress, and culture is a challenge that will make artificial intelligence more resilient.<p>In 2010, I …

30 Free Resources for Machine Learning, Deep Learning, NLP & AI

Check out this collection of 30 ML, DL, NLP & AI resources for beginners, starting from zero and slowly progressing to the point that readers should …

How to Set up a Twitter Bot with Python and Heroku

I just set up a Twitter bot to generate pharmaceutical ads and tweet them out a few times a day. (Source code here). I ended up piecing together …

A Beginner’s Guide to Data Engineering — The Series Finale

From ETL Pipelines To Data Engineering Frameworks<p>At Last, The Finale<p>From <b>Part I</b>of this series, we learned that a robust data foundation is an …

If Your Data Is Bad, Your Machine Learning Tools Are Useless

Poor data quality is enemy number one to the widespread, profitable use of machine learning. While the caustic observation, “garbage-in, garbage-out” has plagued analytics and decision-making for generations, it carries a special warning for machine learning. The quality demands of machine learning …

Which Leading Artificial Intelligence Course Should You Take and What Should You Do After?

I graduated from Udacity’s Deep Learning Nanodegree (DLND) late last year and Andrew Ng’s deeplearning.ai specialization wrapped up for me in …

Xineoh offers AI that predicts customer behavior with scary accuracy

Artificial intelligence has been shaking up the marketing world for the last few years, helping automate menial, repetitive tasks, inform better creative decisions, and predict revenue projections.<p>But many of the tools available for that latter category, namely, predictive analytics, have a …

Index of Best AI/Machine Learning Resources

Artificial Intelligence/Machine Learning field is getting a lot of attention right now, and knowing where to start can be a little difficult.<p>I’ve …

Is There a Smarter Path to Artificial Intelligence? Some Experts Hope So

For the past five years, the hottest thing in artificial intelligence has been a branch known as deep learning. The grandly named statistical technique, put simply, gives computers a way to learn by processing vast amounts of data. Thanks to deep learning, computers can easily identify faces and …

Statistical Significance Tests for Comparing Machine Learning Algorithms

Comparing machine learning methods and selecting a final model is a common operation in applied machine learning.Models are commonly evaluated using …

These 100 Companies Are Leading the Way in A.I.

Whether you fear it or embrace it, the A.I. revolution is coming—and it promises to have an enormous impact on the world economy. PwC estimates that …

Comparing Data Visualization Software: Here Are The 7 Best Tools For 2018

Visualization is an essential element of any Big Data and analytics strategy. The most up-to-date, real-time information and advanced analytics solutions are an expensive waste of money if you can’t communicate the results clearly and effectively to the people whose job it is to put them to …

Choosing the Right Machine Learning Algorithm

Machine learning is part art and part science. When you look at machine learning algorithms, there is no one solution or one approach that fits all. …

Clinical natural language processing for predicting hospital readmission

Doctors have always written clinical notes about their patients — originally, the notes were on paper and were locked away in a cabinet. Fortunately …

Data science moves away from big data towards containers and cloud

Traditional Hadoop-style big data is giving way to cloud and container solutions like Docker, according to the results of a new survey. The State of …

This tool lets you see–and correct–the bias in an algorithm

Accenture’s new Fairness Tool is a way to quickly evaluate whether your data is creating fair outcomes.<p>Algorithms might help decide the terms of your next loan, pull data from your online shopping history to help determine your credit score, assess whether you should be offered a job, or decide …